The Open Radio Access Network (O-RAN)-compliant solutions often lack crucial details for implementing effective control loops at various time scales. To overcome this, we introduce MAREA, an O-RAN-compliant mathematical framework designed for the allocation of radio resources to multiple ultra-Reliable Low Latency Communication (uRLLC) services. In the near-real-time (RT) control loop, MAREA employs a novel Martingales-based model to determine the guaranteed radio resources for each uRLLC service. Unlike traditional queueing theory approaches, this model ensures that the probability of packet transmission delays exceeding a predefined threshold -- the violation probability -- remains below a target tolerance. Additionally, MAREA uses a real-time control loop to monitor transmission queues and dynamically adjust guaranteed radio resources in response to traffic anomalies. To the best of our knowledge, MAREA is the first O-RAN-compliant solution that leverages Martingales for both near-RT and RT control loops. Simulations demonstrate that MAREA significantly outperforms reference solutions, achieving an average violation probability that is x10 lower.
@article{arxiv.2503.08599,
title = {MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN},
author = {Oscar Adamuz-Hinojosa and Lanfranco Zanzi and Vincenzo Sciancalepore and Xavier Costa-Pérez},
journal= {arXiv preprint arXiv:2503.08599},
year = {2025}
}
Comments
This work has been accepted for publication in IEEE Transactions on Communications. arXiv admin note: text overlap with arXiv:2401.03812